DocumentCode
289079
Title
SQLSAM: SQL for statistical analysis and modeling
Author
Choobineh, Joobin ; Kini, Anil
Author_Institution
Dept. of Bus. Anal. & Res., Texas A&M Univ., College Station, TX, USA
Volume
3
fYear
1995
fDate
3-6 Jan 1995
Firstpage
418
Abstract
Statistical modeling and analysis is extensively used in businesses for various purposes including graphic visualization of data, measurement of central tendencies and other statistics, and inferences on populations based on samples. Data is the fundamental component of each of these activities. In this paper an extension of the standard database language SQL for statistical modeling and analysis is presented. Models covered include descriptive analytic and graphic measures, discrete probability distributions, continuous probability distributions, inferential statistics, and regression analysis. Through the use of SQLSAM, seamless integration of existing data in organizations´ databases and their statistical analysis can be achieved
Keywords
business data processing; data visualisation; decision support systems; probability; query languages; statistical analysis; statistical databases; SQL; SQLSAM; business; business decision making; continuous probability distributions; discrete probability distributions; graphic visualization; inferences; inferential statistics; organization databases; regression analysis; standard database language; statistical analysis; statistical modeling; statistics; Database languages; Decision making; Demand forecasting; Graphics; Mathematical programming; Probability distribution; Production; Relational databases; Statistical analysis; Statistical distributions;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on
Conference_Location
Wailea, HI
Print_ISBN
0-8186-6930-6
Type
conf
DOI
10.1109/HICSS.1995.375624
Filename
375624
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